Investigation of factors affecting comfort level of patients diagnosed with TYPE 2 diabetes mellitus

This study was conducted as a descriptive and cross-sectional study to examine the factors affecting the comfort level of patients with type 2 diabetes mellitus. The research was carried out between August 2020 and September 2021.The population of the study consisted of patients diagnosed with Type 2 diabetes (616), who applied to the Endocrine Polyclinic of Atatürk University Training and Research Hospital in the last year. By sampling method, 250 patients who met the research criteria were recruited. The data of the study were collected with the Patient Description Form, Modified Charlson Comorbidity Index and General Comfort Scale (GCS). Data analysis was done with Statistical Package for the Social Sciences (SPSS) package program and Openepi (version 3.01). Frequency, number and mean, Student's t Test and/or Mann-Whitney U Test, ANOVA and/or Kruskal-Wallis Test, Chi-square Test and/or Correlation Analysis were used to evaluate the data. As a result of the research, the general comfort score of the patients was found to be 138.37±16.10 and the comfort score to be 2.88. Educational status of the patients participating in the study, family type, type of diabetes treatment, diabetes-related complications, hypertension, heart disease, stroke, amputation, frequent blood glucose measurement, insulin injection, stroke, drug use related to additional disease, stress A significant correlation was found between the level of sleep, sleep pattern, coping status, age, duration of diabetes and the number of drugs used and GCS (p<0.05). It was determined that the modified Charlson Comorbidity Index Score predicted the GCS. As a result of the research, it was determined that the comfort level of patients with type 2 diabetes was determined by the sociodemographic variable of education and family type; It was determined that complications related to the disease, invasive interventions such as blood glucose measurement, insulin administration, and variables related to daily activities such as sleep and stress were affected.